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dc.contributor.authorThelwall, Mike
dc.contributor.authorKousha, Kayvan
dc.contributor.authorMakita, Meiko
dc.contributor.authorAbdoli, Mahshid
dc.contributor.authorStuart, Emma
dc.contributor.authorWilson, Paul
dc.contributor.authorLevitt, Jonathan
dc.date.accessioned2023-02-08T10:12:51Z
dc.date.available2023-02-08T10:12:51Z
dc.date.issued2023-02-28
dc.identifier.citationThelwall, M., Kousha, K., Makita, M., Abdoli, M., Stuart, E., Wilson, P. and Levitt, J. (2023) Is big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021. Journal of Data and Information Science, 8 (1), pp.9-20.en
dc.identifier.issn2543-683Xen
dc.identifier.doi10.2478/jdis-2023-0004
dc.identifier.urihttp://hdl.handle.net/2436/625101
dc.description© 2023The Authors. Published by Sciendo/Journal of Data and Information Science. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.2478/jdis-2023-0004en
dc.description.abstractCollaborative research causes problems for research assessments because of the difficulty in fairly crediting its authors. Whilst splitting the rewards for an article amongst its authors has the greatest surface-level fairness, many important evaluations assign full credit to each author, irrespective of team size. The underlying rationales for this are labour reduction and the need to incentivise collaborative work because it is necessary to solve many important societal problems. This article assesses whether full counting changes results compared to fractional counting in the case of the UK’s Research Excellence Framework (REF) 2021. For this assessment, fractional counting reduces the number of journal articles to as little as 10% of the full counting value, depending on the Unit of Assessment (UoA). Despite this large difference, allocating an overall grade point average (GPA) based on full counting or fractional counting give results with a median Pearson correlation within UoAs of 0.98. The largest changes are for Archaeology (r=0.84) and Physics (r=0.88). There is a weak tendency for higher scoring institutions to lose from fractional counting, with the loss being statistically significant in 5 of the 34 UoAs. Thus, whilst the apparent over-weighting of contributions to collaboratively authored outputs does not seem too problematic from a fairness perspective overall, it may be worth examining in the few UoAs in which it makes the most difference.en
dc.description.sponsorshipThis study was funded by Research England, Scottish Funding Council, Higher Education Funding Council for Wales, and Department for the Economy, Northern Ireland as part of the Future Research Assessment Programme.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherSciendo/National Science Library of the Chinese Academy of Sciencesen
dc.relation.urlhttp://manu47.magtech.com.cn/Jwk3_jdis/EN/10.2478/jdis-2023-0004en
dc.subjectresearch excellence frameworken
dc.subjectREF2021en
dc.subjectteam scienceen
dc.subjectco-authorshipen
dc.subjectscientometricsen
dc.subjectbibliometricsen
dc.subjectresearch collaborationen
dc.titleIs big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021en
dc.typeJournal articleen
dc.identifier.journalJournal of Data and Information Scienceen
dc.date.updated2023-02-08T07:37:04Z
dc.date.accepted2023-02-08
rioxxterms.funderResearch England, Scottish Funding Council, Higher Education Funding Council for Wales, and Department for the Economy, Northern Irelanden
rioxxterms.identifier.projectUOW08022023MTen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2023-12-31en
dc.source.volume8
dc.source.issue1
dc.source.beginpage9
dc.source.endpage20
refterms.dateFCD2023-02-08T10:12:24Z
refterms.versionFCDVoR
refterms.dateFOA2023-03-17T12:28:55Z


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